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Power BI Developer with 4+ years in Business Intelligence & Data Visualization
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Data Analyst with 4.9 years of experience delivering scalable Business Intelligence (BI) solutions across Telecommunications, Insurance, Sales, and Finance domains. Expertise in data modeling, ETL pipelines, and dashboard development using Power BI, advanced DAX, SQL and Excel. Skilled in performance optimization, ETL automation, and implementing secure BI solutions. Proven ability to translate complex business requirements into intuitive dashboards and actionable insights, enabling data-driven decision-making for enterprise stakeholders and 400+ users.
University of Madras
MCA
August 1, 2022 – June 30, 2024
Thiruthangal Nadar College
BCA
August 1, 2017 – June 30, 2020
ACSASS
Data Analyst
June 1, 2021 – March 1, 2026
Chennai, Tamil Nadu, India
Sales / Online Retailing Analytics
July 1, 2024 – February 1, 2026
Designed and developed scalable semantic data models using advanced DAX and optimized ETL workflows to support enterprise-level sales analytics. Built interactive Power BI dashboards for sales performance, churn analysis, and KPI monitoring, improving reporting efficiency by 30% and reducing churn by 35%. Integrated data from 8+ sources using Azure Data Factory pipelines, improving data accuracy by 25% and reducing manual processing by 35%. Implemented role-based access control (RBAC) and optimized dataset refresh schedules to deliver secure, role-specific insights across departments. Developed drill-through and dynamic filtering dashboards enabling stakeholders to analyze revenue trends, profitability, and regional performance, reducing reporting turnaround time by 40%. Translated complex business requirements into actionable BI solutions, increasing dashboard adoption by 45% among sales and finance users.
Sales & Finance Analytics
January 1, 2023 – June 1, 2024
Developed and deployed scalable Power BI dashboards for financial reporting and revenue tracking, improving reporting accuracy by 25% and reducing manual effort by 35%. Integrated and consolidated data from 8+ sources using Azure Data Factory pipelines, ensuring consistent and reliable data flow. Analyzed complex business requirements, designed ER diagrams, and built optimized data models to support sales forecasting and profitability analysis, improving forecast accuracy by 20%. Created interactive KPI dashboards (revenue trends, cost analysis, regional performance), enabling real-time decision-making and reducing reporting turnaround time by 40%. Implemented advanced DAX measures and drill-through capabilities to enable self-service analytics, increasing dashboard adoption by 45%.
Insurance Analytics
July 1, 2021 – December 1, 2022
Developed Power BI dashboards to track policy performance, claims ratios, premium growth, and loss ratios, reducing reporting time by 35%. Built semantic data models and advanced DAX calculations to improve underwriting accuracy and risk assessment efficiency by 25%. Created trend and profitability analysis reports across multiple insurance products and regions, improving financial insight visibility by 15%. Implemented drill-through and dynamic filtering to enable claims managers to investigate high-risk cases 40% faster. Improved data quality and consistency by 30% through validation rules, data cleansing processes, and standardized BI documentation. Designed operational dashboards to track claims processing timelines, increasing process efficiency by 20%.
Cultural Fit Analysis
The candidate's experience across multiple industries (Telecommunications, Insurance, Sales, Finance) and involvement in projects with diverse business objectives (policy performance, sales analytics, financial reporting) indicates adaptability and a broad understanding of different business contexts. This diversity suggests a good cultural fit for organizations seeking versatile BI professionals capable of working across various departments and problem domains. The focus on improving efficiency and user adoption aligns with a results-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in stakeholder management, requirements gathering, and delivering end-to-end BI solutions. Their project descriptions highlight a focus on improving efficiency, reducing manual effort, and enhancing decision-making, which are critical for a senior Power BI Developer role. The emphasis on data quality, consistency, and documentation also points to a structured and thorough approach to BI development.